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Sentiment Classification

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TitleStatusHype
Contrastive Clustering: Toward Unsupervised Bias Reduction for Emotion and Sentiment Classification—0
TaskDrop: A Competitive Baseline for Continual Learning of Sentiment ClassificationCode0
Reinforced Counterfactual Data Augmentation for Dual Sentiment ClassificationCode0
Casting the Same Sentiment Classification ProblemCode0
What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations—0
Saliency-based Multi-View Mixed Language Training for Zero-shot Cross-lingual Classification—0
AdvCodeMix: Adversarial Attack on Code-Mixed Data—0
Improved Multilingual Language Model Pretraining for Social Media Text via Translation Pair PredictionCode0
Distributionally Robust Classifiers in Sentiment AnalysisCode0
LSA: Modeling Aspect Sentiment Coherency via Local Sentiment AggregationCode0
Aspect-Sentiment-Multiple-Opinion Triplet ExtractionCode0
Using Psuedolabels for training Sentiment Classifiers makes the model generalize better across datasets—0
A Corpus for Dimensional Sentiment Classification on YouTube Streaming Service—0
Home Appliance Review Research Via Adversarial Reptile—0
Aggregating User-Centric and Post-Centric Sentiments from Social Media for Topical Stance Prediction—0
BERT4GCN: Using BERT Intermediate Layers to Augment GCN for Aspect-based Sentiment Classification—0
Improving Sentiment Classification Using 0-Shot Generated Labels for Custom Transformer Embeddings—0
Classifying Tweet Sentiment Using the Hidden State and Attention Matrix of a Fine-tuned BERTweet Model—0
Adversarial Training: A simple and efficient technique to Improving NLP Robustness—0
Decision Making For Celebrity Branding: An Opinion Mining Approach Based On Polarity And Sentiment Analysis Using Twitter Consumer-Generated Content (CGC)—0
SentiPrompt: Sentiment Knowledge Enhanced Prompt-Tuning for Aspect-Based Sentiment Analysis—0
Dialog speech sentiment classification for imbalanced datasets—0
Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding—0
Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text ClassificationCode0
Cross-Lingual Text Classification of Transliterated Hindi and MalayalamCode0
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